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This work provides novel robust and regularized algorithms for parameter estimation with applications in vehicle tractive force prediction and mass estimation. Given a large record of real world data from test runs on public roads, recursive algorithms adjusted the unknown vehicle parameters under a broad variation of statistical assumptions for two linear gray-box models.
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Rhode, S. 2018. Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000083492
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Veröffentlicht am 1. Oktober 2018
Englisch
244
| Paperback | 978-3-7315-0807-6 |